Providing Nonlinear Temperature Compensation for Sensing Means by Use of Pade Approximant Function Emulators

ABSTRACT

Sensors and/or transducers can exhibit nonlinear response to temperature changes in terms of offset and also in terms of sensitivity to variations in a sensed physical attribute (pressure, strain, displacement, etc.). Padé Approximant function emulators are used to model the nonlinear offset and/or nonlinear sensitivity behaviors of a given sensing means relative to one or more temperature sub-ranges and to produce temperature compensating corrections for both offset and sensitivity as may be desired. In order to avoid use of brute force division for generating the Pade&#39; Approximant function signals, in one set of embodiments, feedback is used to provide a corresponding effect. In order to minimize the number of coefficients that are to be resolved and stored, in one set of embodiments, first or higher order Pade&#39; Approximants with normalized denominators are used so that each function can be defined with just three coefficients. Embodiments that are more analog in nature or more digital in nature are disclosed. Methods for resolving the Pade&#39; Approximant coefficients and calibrating each sensor unit on a mass production basis are also disclosed.

2a. CROSS REFERENCE TO CO-OWNED APPLICATIONS

The following copending U.S. patent applications are owned by the owner of the present application, and their disclosures are incorporated herein by reference:

(A) Ser. No. 10/845,681 filed May 13, 2004 by Jose Marcos Laraia, Jose G. Taveira, Robert P. Moehrke and which was originally entitled, Pade'Approximant Based Compensation for Integrated Sensor Modules and the Like; and

(B) Ser. No. 10/870,314 filed Jun. 16, 2004 by Jose Marcos Laraia, Masahisa Niwa, Robert P. Moehrke and Jose G. Taveira and which was originally entitled, Reactive Sensor Modules Using Pade' Approximant Based Compensation and Providing Module-Sourced Excitation.

FIELD OF DISCLOSURE

The present invention relates generally to sensors and/or transducers that exhibit nonlinear behavior in response to temperature changes. The invention relates more specifically to efficient and accurate methods of compensating for such nonlinear behavior of sensing means in environments that have changing temperature.

DESCRIPTION OF RELATED ART

Technological advancements have made possible a plethora of new electronic and/or electromagnetic sensors or transducers that are mass producible for a variety of uses. Temperature, pressure, luminosity, position, acceleration, flow rate are just a few of the many physical variables that can be sensed, measured and/or communicated with such devices. The sensed or measured parameters can be transmitted electromagnetically or otherwise to a computer or other intelligent device for display, control and/or other processing. Because of the importance of accurate sensing or measuring of physical parameters in a number of fields of application, such as in the automotive industry, medicine, aerospace and factory automation, considerable effort has been dedicated to developing low cost sensing devices that are small, accurate, reliable, and capable of operating in harsh environments. This has led to a variety of sensing means based on different physical/electrical principles, each one optimized for specific applications.

When a physical quantity is being sensed or measured for the purpose of subsequent processing or reporting of its value(s), a translation invariably occurs from the domain of the sensed/measured physical quantity (be it pressure, or magnetic flux intensity, or motor current in a high voltage industrial application, or some other such parameter) to the domain of the representative signals (e.g., low voltage, digital CMOS signals, for example in the 0-5 volt range), where the representative signals will be used for the subsequent processing and/or reporting of the sensed/measured physical quantity. Somewhere in the domain-to-domain translating pathway, there may be one or more elements (e.g., sensor or transducer) whose behaviors are significantly affected by temperature change. For lack of a better term, a set of one or more such temperature-dependent elements will be understood herein to be part of a “sensing means”. Regardless of the underlying physical principles used in translation process, essentially all sensing means (i.e., sensing or transducing elements) exhibit some limitations and nonidealities that need to be circumvented. For instance, most sensors typically exhibit offset and sensitivity variations due to normal tolerances allowed by manufacturing process variation. Such offset and/or sensitivity variations often have to be compensated for by way of individualized calibration of the sensor interface circuitry. Also, to some extent, essentially all sensing means present variations in response over temperature. This too may need to be compensated for by way of individualized corrections. An appropriate electronic circuit, usually referred to as a signal conditioning circuit, is often tied (electrically, logically and/or physically) to each individual sensing means to take care of these requirements. In many cases, the signal conditioning circuit is an integral part of the packaging or housing that contains part or all of the sensing means. Often, a sensing element and its corresponding signal conditioning circuit are commonly packaged in a single physical unit to constitute a sensor module. More detailed explanations on sensor signal conditioning and examples of available solutions can be found in the following three articles (incorporated here by reference): (a) Mnif, K., “Compensation is critical in fitting analog pressure sensors to the application”, ISD Magazine, July 2001; (b) Travis, B., “Smart conditioners rub out sensor errors”, EDN Magazine, February 2001; and (c) McGonigal, J., “Signal conditioning”, Sensor Magazine, September 2003.

Temperature compensation (TC) is a fundamental requirement in most sensor signal conditioning systems, as it enables a higher degree of accuracy and/or an extended operating temperature range without calling for the use of much more sophisticated and expensive sensing elements. Methods for TC vary, but most commonly involve multiplying the sensor output signal by a temperature-dependent gain value after having first subtracted out a temperature-dependent offset value. See for example: (a) U.S. Pat. No. 5,848,383 issued December 1998 to Yunus (provides polynomial compensation of temperature coefficient); (b) U.S. Pat. No. 5,902,925 issued May 1999 to Crispie et al (provides piece-wise linear compensation of temperature coefficient); (c) U.S. Pat. No. 5,995,033 issued November 1999 to Roeckner et al (uses DAC for setting offset); (d) U.S. Pat. No. 5,939,693 issued August 1999 to Roeckner et al (uses a signal conditioning circuit with DACs, and a combo ADC/DAC for signal conversion and polynomial calculation for temperature and nonlinearity compensation); and (e) U.S. Pat. No. 6,032,109 issued February 2000 to Ritmiller, III (uses coarse and fine DAC's driven by DSP (Digital Signal Processor))—all incorporated herein by reference. As indicated from the preceding brief descriptions of Yunus '383, etc., temperature-dependent offset and gain control may be achieved with piece-wise linear function generation, with polynomial function generation and/or with complex digital signal processing techniques. However, due to market pressure for ever-higher accuracies and ever-cheaper solutions, sometimes the more traditional linear or piecewise linear TC techniques are not capable of providing the required performance over a given temperature range. The polynomial-based, nonlinear temperature compensation techniques that are generally used usually do not provide a very good fit with sensing elements that do not behave in a polynomial mannerism (e.g., y=a₀+a₁x¹+a₂x²+ . . . ). Therefore accuracy may still be insufficient over a given temperature range unless a large number of terms are used in each polynomial expression, and perhaps different polynomials are stitched together in piecewise manner. This greatly increases circuit complexity and cost. A simpler and better solution is needed.

SUMMARY

Structures and methods may be provided in accordance with the present disclosure of invention for improving over the above-summarized shortcomings of prior temperature compensation techniques.

More specifically, a nonlinear temperature compensation methodology is provided here that can be easily made accurate, programmable, and sufficiently flexible to be used in a wide range of applications, including providing temperature compensation for enabling low-cost mass production of individually calibrated sensing means. Circuitry in accordance with the invention can be made simple enough to be easily implemented as small functional blocks in the monolithic sensor interface integrated circuits (ICs) that usually accompany sensors.

The present disclosure of invention provides a way to realize numerical division without use of brute force numerical techniques. The present invention may be practiced with use of so-called Padé Approximants, which may be derived by expanding a to-be-emulated function, at least piece-wise, as a ratio of two power series (a division of the two polynomials) and determining the coefficients in both the numerator and denominator power series. Padé approximations are suitable to model nonlinear physical variables and mathematical functions that contain poles. Also, a rational approximation can follow curves that are not essentially polynomial. In particular, the rational functions generated by the Padé Approximants method are generally a better fit for physical sensor behavior than are Taylor expansions with a comparably larger number of terms. One of the obstacles presented heretofore, to using Padé Approximants in practical implementations is the need for forming a ratio of the two power series. Brute force division is generally more costly than machine-implemented computations that rely only on addition, subtraction or multiplication. In accordance with the invention, feedback techniques are used to provide a transfer function that emulates the division operation that is called for by the Padé Approximants methodology.

In accordance with one aspect of the invention, one or more inverse Padé Approximant transfer functions are applied to a signal generated by a temperature-affected sensing means in order to cancel out its nonlinearities with respect to temperature variation in a given temperature range and to thereby provide more precise sensing (or domain translation) over the given temperature range. Accurate approximations can be implemented with low-order Padé Approximant functions (those having only a few coefficients). This results in high-performance while allowing for relatively simple and inexpensive nonlinearity compensation circuitry. More specifically, in one embodiment, the sensor offset is modeled at least in part by a first Padé Approximant generating circuit having temperature as its input variable and the sensor gain inverse is modeled at least in part by a second Padé Approximant generating circuit also having temperature as its input variable. Methods for calibrating such circuits in a mass production environment will be detailed.

Other aspects of the disclosure will become apparent from the below detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

The below detailed description section makes reference to the accompanying drawings, in which:

FIG. 1 is a first graph of three functions that can be emulated by a first order Pade' Approximant circuit;

FIG. 2 is a second graph of three more functions that can be emulated by a slightly different first order Pade' Approximant circuit;

FIG. 3 is a third graph of three further functions that can be emulated by a yet different first order Pade' Approximant circuit;

FIG. 4 graphs a desired sensor, counter-offset function;

FIG. 5 graphs a desired sensor counter-gain function;

FIG. 6 is a schematic diagram showing a first circuit for generating a counter-offset that is to be subtracted from a sensor output signal to thereby remove temperature dependent offset;

FIG. 7 is a schematic diagram of a mostly analog embodiment of a circuit for countering temperature-dependent aspects of sensor offset and sensor sensitivity;

FIG. 8A is a block diagram of a more digital embodiment of a circuit for countering temperature-dependent aspects of sensor offset and sensor sensitivity;

FIG. 8B is a schematic diagram of a specific implementation of FIG. 8A, including showing how a calibration computer interconnects with the temperature compensation IC during mass production calibration;

FIG. 9 is a block diagram of a yet more digital embodiment of a circuit for countering temperature-dependent aspects of sensor offset and sensor sensitivity; and

FIG. 10 is an exemplary graph of sensor offset versus temperature, used to explain piece-wise temperature compensation and calibration for different temperature subranges.

DETAILED DESCRIPTION

Padé Approximants may be formed by expanding a function as a ratio of two power series and determining both the numerator and denominator coefficients. Padé Approximants are usually superior to Taylor expansions when the modeled functions contain poles, because the use of rational functions allows such pole behavior to be well-represented. (See for example: the Wolfram Research Mathworld Web site, http://mathworld.wolfram.com/PadeApproximant.html).

In its general form, a Padé Approximant may be expressed as the ratio between two power series per equation Eq. 1:

$\begin{matrix} {\frac{P_{L}(x)}{Q_{M}(x)} = \frac{p_{0} + {p_{1}x} + {p_{2}x^{2}} + \ldots + {p_{L}x^{L}}}{1 + {q_{1}x} + {q_{2}x^{2}} + \ldots + {q_{M}x^{M}}}} & \left( {{Eq}.\mspace{14mu} 1} \right) \end{matrix}$

wherein x is the input variable, p_(L) and q_(M) are relatively constant coefficients and Q_(M)(x) is normalized in the example to provide Q_(M)(0)=1. If coefficients q₁ through q_(M) are set to zero, then equation Eq. 1 reduces to a Taylor expression having just the numerator coefficients, p₀ through p_(L).

A Padé Approximant y₁(x) having 1st order polynomials in both its numerator and denominator can be expressed in accordance with the following equation Eq. 2:

$\begin{matrix} {{y_{1}(x)} = {\frac{P_{1}(x)}{Q_{1}(x)} = \frac{{ax} + b}{{cx} + 1}}} & \left( {{Eq}.\mspace{14mu} 2} \right) \end{matrix}$

By adjusting the input signal, x (including its polarity and effective origin) and by adjusting the respective magnitudes of coefficients a, b, and c; different types of nonlinear functions can be achieved. FIGS. 1, 2, and 3 show some possible transfer function formats, with y₁(x) being rewritten in formats easier to correlate with the illustrated curves. As should be apparent from FIGS. 1-3, the position, orientation, and slope of each function curve can be adjusted by adjusting the three coefficients, a, b and c and by adjusting the polarity and effective origin of the input variable, x. In the special case where a/c=b, then y₁(x) takes on a constant value equal to b. On the other hand, if a/c>b or a/c<b, then a corresponding nonlinear function is obtained and the identities of the following expressions, Ex. 3-Ex. 5 are readily verified:

$\begin{matrix} {{for}\mspace{14mu} {{Fig}.\mspace{14mu} 1}\text{:}\begin{Bmatrix} {{y(0)} = b} \\ {{\underset{x->\infty}{\lim \;}{y(x)}} = \frac{a}{c}} \end{Bmatrix}} & \left( {{Ex}.\mspace{14mu} 3} \right) \\ {{for}\mspace{14mu} {{Fig}.\mspace{14mu} 2}\text{:}\begin{Bmatrix} {{y\left( x_{0} \right)} = b} \\ {{\underset{x->\infty}{\lim \;}{y(x)}} = \frac{a}{c}} \end{Bmatrix}} & \left( {{Ex}.\mspace{14mu} 4} \right) \\ {{for}\mspace{14mu} {{Fig}.\mspace{14mu} 3}\text{:}\begin{Bmatrix} {{y\left( x_{0} \right)} = b} \\ {{\underset{x->{- \infty}}{\lim \;}{y(x)}} = \frac{a}{c}} \end{Bmatrix}} & \left( {{Ex}.\mspace{14mu} 5} \right) \end{matrix}$

More specifically, in FIG. 1, nonlinear curve 101 has the value b at x=0 and the asymptote given by Ex. 3 in the case where a/c>b. Nonlinear curve 103 has the value b at x=0 and the asymptote given by Ex. 3 in the case where a/c<b. Constant response 102 is achieved when a/c=b. Similar results are seen in FIG. 2 except that the three plots, 201-203 intersect at the point where x=x₀ (at 204). Similar results are seen in FIG. 3 except that the three plots, 301-303 extend in the opposite lateral direction because the input variable, x is given a negative polarity. Note that y₁(x) is undefined when cx+1=0 and thus the condition cx=−1 should be avoided.

As indicated above, sensing elements typically generate an electromagnetic output signal that includes an offset component that varies in a nonlinear fashion over temperature and that includes a gain or sensitivity parameter that further varies in a nonlinear fashion over temperature. By using 1st order Padé Approximants in combination with environmental temperature (T, in other words, the effective temperature that the sensing means is being subjected to) being provided as the input variable, the temperature dependency of a sensing means can generally be represented to a good degree of accuracy by the following equation Eq. 6:

$\begin{matrix} {{V_{S}(T)} \cong {\left\lbrack {{voff}_{0} + \left( \frac{{a \cdot T} + b}{{c \cdot T} + 1} \right)} \right\rbrack + \left\lbrack {S_{0} \cdot \left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right) \cdot \Phi} \right\rbrack}} & \left( {{Eq}.\mspace{14mu} 6} \right) \end{matrix}$

where: the left side V_(S)(T) is the actual sensing element output voltage (although in alternate types of sensing means it could be current or charge or some other electromagnetic parameter in some sensors); and where in the right side of the approximation, voff₀ is a sensing element offset result that appears at the sensor output when the sensed physical parameter (e.g., pressure) is at a reference or zero magnitude (e.g., 1 atmosphere in the case of pressure) and where this voff₀ output is measured at a certain reference temperature, T₀. Coefficients a, b, and c are nonlinear offset temperature coefficients whose values are established during calibration. S₀ is the sensing element sensitivity (or gain) at the utilized reference temperature, T₀. The capitalized A, B, C terms are nonlinear sensitivity temperature coefficients whose values are also established during calibration. Finally, Φ is the physical parameter that is being sensed by the modeled sensing means so as to produce the actual sensor output signal: V_(S)(T). Examples of Φ may include pressure levels, mechanical strains, mechanical displacements, intercepted radiations or other energy fields, and so forth.

In accordance with the invention, counter-compensation is provided for the temperature dependency of the sensor offset component by generating a counter-offset signal, V_(off)(T) per equation Eq. 7:

$\begin{matrix} {{V_{off}(T)} \cong \left\lbrack {{voff}_{0} + \left( \frac{{a \cdot T} + b}{{c \cdot T} + 1} \right)} \right\rbrack} & \left( {{Eq}.\mspace{14mu} 7} \right) \end{matrix}$

Further in accordance with the invention, counter-compensation is provided for the temperature dependency of the sensor gain by finding an inverse of equation Eq. 8:

$\begin{matrix} {{G_{sensor}(T)} \cong \left\lbrack {S_{0} \cdot \left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right)} \right\rbrack} & \left( {{Eq}.\mspace{14mu} 8} \right) \end{matrix}$

While the disclosure focuses on using Padé Approximants in combination with “sensed” temperature (T) for adjusting the sensor output signal, it should be noted that it is within the contemplation of the invention to additionally use Padé Approximants in combination with the temperature corrected results for further compensating (pre-compensation or post compensation) for nonlinearities in the complete signal path or paths, namely, to compensate for nonlinear response of the secondary sensor means that is used to sense the “sensed” temperature (T), and/or to compensate for nonlinear response of the analog signal paths (if any) that transmit signals representing these quantities. By calibrating while using the signal level present at the actual output pin of a compensation IC, some of the internal nonlinearities within the signal-processing IC itself are inherently compensated for. It is also within the contemplation of the invention to additionally use Padé Approximants in combination with the above to compensate for nonlinear response of the primary sensor to different magnitudes or magnitude ranges of the physical parameter (Φ) that is being sensed by the modeled sensing means.

Focusing first on the counter-offset signal, V_(off)(T) of equation Eq. 7, the 3 unknown coefficient values, a, b and c can be resolved (as one but not the only method) by taking a corresponding set of at least 3 offset measurements relative to a reference point, say, Voff₀, and at respective temperature points T₁, T₂ and T₃ per the following equations set, Eqs. 9:

$\begin{matrix} \begin{Bmatrix} {{{a \cdot T_{1}} + b - {{c \cdot T_{1} \cdot \Delta}\; {voff}_{1}}} = {\Delta \; {voff}_{1}}} \\ {{{a \cdot T_{2}} + b - {{c \cdot T_{2} \cdot \Delta}\; {voff}_{2}}} = {\Delta \; {voff}_{2}}} \\ {{{a \cdot T_{3}} + b - {{c \cdot T_{3} \cdot \Delta}\; {voff}_{3}}} = {\Delta \; {voff}_{3}}} \end{Bmatrix} & \left( {{Eqs}.\mspace{14mu} 9} \right) \end{matrix}$

where

Δvoff_(n) =voff_(n) −voff₀  (Eq. 10)

From equations set, Eqs. 9 the 3 coefficients a, b, c can be easily calculated, for instance by using determinants (Cramer's Rule) per equations set, Eqs. 11, 12, 13a-13c:

$\begin{matrix} {{a = \frac{D_{a}}{D}}{b = \frac{D_{b}}{D}}{c = \frac{D_{c}}{D}}} & \left( {{Eq}.\mspace{14mu} 11} \right) \end{matrix}$

where

$\begin{matrix} {D = {\begin{matrix} T_{1} & 1 & {{{- T_{1}} \cdot \Delta}\; {voff}_{1}} \\ T_{2} & 1 & {{{- T_{2}} \cdot \Delta}\; {voff}_{2}} \\ T_{3} & 1 & {{{- T_{3}} \cdot \Delta}\; {voff}_{3}} \end{matrix}}} & \left( {{Eq}.\mspace{14mu} 12} \right) \\ {D_{a} = {\begin{matrix} {\Delta \; {voff}_{1}} & 1 & {{{- T_{1}} \cdot \Delta}\; {voff}_{1}} \\ {\Delta \; {voff}_{2}} & 1 & {{{- T_{2}} \cdot \Delta}\; {voff}_{2}} \\ {\Delta \; {voff}_{3}} & 1 & {{{- T_{3}} \cdot \Delta}\; {voff}_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 13}\; a} \right) \\ {D_{b} = {\begin{matrix} T_{1} & {\Delta \; {voff}_{1}} & {{{- T_{1}} \cdot \Delta}\; {voff}_{1}} \\ T_{2} & {\Delta \; {voff}_{2}} & {{{- T_{2}} \cdot \Delta}\; {voff}_{2}} \\ T_{3} & {\Delta \; {voff}_{3}} & {{{- T_{3}} \cdot \Delta}\; {voff}_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 13}\; b} \right) \\ {D_{c} = {\begin{matrix} T_{1} & 1 & {\Delta \; {voff}_{1}} \\ T_{2} & 1 & {\Delta \; {voff}_{2}} \\ T_{3} & 1 & {\Delta \; {voff}_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 13}\; c} \right) \end{matrix}$

If more than three measurement equations are generated, then statistical curve fitting algorithms may be used for resolving the values of the three offset coefficients: a, b, and c. After determining the three offset coefficients: a, b, c, the offset compensation circuit simply has to synthesize the negative of the temperature dependent, nonlinear function and to add that negative correction signal to the sensor output signal, per equation Eq. 14 so as to leave behind only the temperature-independent offset component, voff₀ which remains substantially constant over the relevant temperature range defined by T1, T2 and T3.

$\begin{matrix} {{{voff}(T)} = {{{voff}_{0} + \left( \frac{{a \cdot T} + b}{{c \cdot T} + 1} \right) - \left( \frac{{a \cdot T} + b}{{c \cdot T} + 1} \right)} = {voff}_{0}}} & \left( {{Eq}.\mspace{14mu} 14} \right) \end{matrix}$

Referring to FIG. 4, the process is shown graphically, where T₁, T₂ and T₃ are the temperatures of the respective three measurement points that produce respective sensor output voltages, v_(off1), v_(off2) and v_(off3) when there is a corresponding zero point for the sensor's physical input parameter (e.g., pressure, where the zero point would be say, 1 atmosphere). To is a temperature where the sensor naturally outputs the constant component, v_(off0). After subtraction of the temperature varied response, all that is left is the temperature invariant, offset response, v_(off0) as is shown in the right side of FIG. 4.

Referring to FIG. 5, a similar approach may be taken with the sensor's gain or sensitivity over the relevant temperature range which encompasses measurement points, T1, T2 and T3. More specifically, temperature variations for sensor sensitivity may be described by a nonlinear multiplicative factor such as shown in equation Eq. 8 above instead of by the additive factor used for offset. The nonlinearity counter-compensation for the temperature sensitivity, S(T) of a given sensor can be calculated in an analogous way to how it was done for offset except that the physical parameter input value has to be something other than a relative zero point. In accordance with the disclosure, sensitivity is measured for at least three different temperatures T1, T2, and T3 and the corresponding values are recorded as S1, S2, and S3, respectively. For more consistent results the excitation should be the same in each case, typically full scale or half scale of the measured physical attribute (e.g., pressure).

Equation Eq. 8 is re-expressed here as the function S(T):

$\begin{matrix} {{S(T)} = {S_{0} \cdot \left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right)}} & \left( {{Eq}.\mspace{14mu} 15} \right) \end{matrix}$

Replacing T with known temperatures and S(T) with measured relative sensitivities, the following system of at least three equations (Eqs. 16a-16c) with three unknowns A, B, C can be obtained:

$\begin{matrix} \begin{Bmatrix} {{{A \cdot T_{1}} + B - {{C \cdot T_{1} \cdot \Delta}\; S_{1}}} = {\Delta \; S_{1}}} \\ {{{A \cdot T_{2}} + B - {{C \cdot T_{2} \cdot \Delta}\; S_{2}}} = {\Delta \; S_{2}}} \\ {{{A \cdot T_{3}} + B - {{C \cdot T_{3} \cdot \Delta}\; S_{3}}} = {\Delta \; S_{3}}} \end{Bmatrix} & \left( {{{Eqs}.\mspace{14mu} 16}\; a\text{-}16\; c} \right) \end{matrix}$

where

$\begin{matrix} {{\Delta \; S_{n}} = \frac{S_{n}}{S_{0}}} & \left( {{Eq}.\mspace{14mu} 17} \right) \end{matrix}$

and S₀ (see FIG. 5) is the sensitivity at temperature T₀.

From equations set, Eqs. 16a-16c, the coefficients A, B, C can also be calculated by Cramer's Rule:

$\begin{matrix} {{A = \frac{D_{A}}{D_{S}}}{B = \frac{D_{B}}{D_{S}}}{C = \frac{D_{C}}{D_{S}}}} & \left( {{{Eqs}.\mspace{14mu} 18}a\text{-}c} \right) \end{matrix}$

where

$\begin{matrix} {D_{S} = {\begin{matrix} T_{1} & 1 & {{{- T_{1}} \cdot \Delta}\; S_{1}} \\ T_{2} & 1 & {{{- T_{2}} \cdot \Delta}\; S_{2}} \\ T_{3} & 1 & {{{- T_{3}} \cdot \Delta}\; S_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 19}\; s} \right) \\ {D_{A} = {\begin{matrix} {\Delta \; S_{1}} & 1 & {{{- T_{1}} \cdot \Delta}\; S_{1}} \\ {\Delta \; S_{2}} & 1 & {{{- T_{2}} \cdot \Delta}\; S_{2}} \\ {\Delta \; S_{3}} & 1 & {{{- T_{3}} \cdot \Delta}\; S_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 19}\; A} \right) \\ {D_{B} = {\begin{matrix} T_{1} & {\Delta \; S_{1}} & {{{- T_{1}} \cdot \Delta}\; S_{1}} \\ T_{2} & {\Delta \; S_{2}} & {{{- T_{2}} \cdot \Delta}\; S_{2}} \\ T_{3} & {\Delta \; S_{3}} & {{{- T_{3}} \cdot \Delta}\; S_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 19}\; B} \right) \\ {D_{C} = {\begin{matrix} T_{1} & 1 & {\Delta \; S_{1}} \\ T_{2} & 1 & {\Delta \; S_{2}} \\ T_{3} & 1 & {\Delta \; S_{3}} \end{matrix}}} & \left( {{{Eq}.\mspace{14mu} 19}\; C} \right) \end{matrix}$

As was the case with offset, if more than three measurements are taken, then statistical curve fitting techniques (e.g., least square error) may be used to resolve the three sensitivity coefficients A, B, and C. After determining coefficients A, B, C, the sensitivity counter-compensation circuit is structured to synthesize an inverse nonlinear function that, when multiplied by the original sensitivity function, keeps the resulting sensitivity substantially constant and equal to S0 over the temperature range defined by T1 T2 and T3, according to equation Eq. 20 below:

$\begin{matrix} {{S^{\prime}(T)} = {{S_{0} \cdot \left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right) \cdot \left( \frac{{x \cdot T} + y}{{z \cdot T} + 1} \right)} = S_{0}}} & \left( {{Eq}.\mspace{14mu} 20} \right) \end{matrix}$

The correcting function,

$\left( \frac{{x \cdot T} + y}{{z \cdot T} + 1} \right)$

can be called the “Inverse Padé Approximant” with respect to the sensor's natural sensitivity,

$\left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right),$

as their product equals unity (1).

By setting the x, y and z coefficients per equations set Eqs. 21:

$\begin{matrix} \begin{Bmatrix} {x = {C/B}} \\ {y = {1/B}} \\ {z = {A/B}} \end{Bmatrix} & \left( {{Eqs}.\mspace{14mu} 21} \right) \end{matrix}$

the sensitivity equation (Eq. 20) can be rewritten so that the modified result, S′(T) becomes constant and equal to S₀:

$\begin{matrix} {{S^{\prime}(T)} = {{S_{0} \cdot \left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right) \cdot \left( \frac{{\frac{C}{B} \cdot T} + \frac{1}{B}}{{\frac{A}{B} \cdot T} + 1} \right)} = {{S_{0} \cdot \left( \frac{{A \cdot T} + B}{{C \cdot T} + 1} \right) \cdot \left( \frac{{C \cdot T} + 1}{{A \cdot T} + B} \right)} = S_{0}}}} & \left( {{Eq}.\mspace{14mu} 22} \right) \end{matrix}$

This demonstrates how the sensitivity compensation with the coefficient settings of equation set Eqs. 21 results in a temperature-invariant sensitivity.

Referring to FIG. 6, a first temperature compensation circuit 600 in accordance with the invention is shown. As explained above in theoretical terms, a first Padé Approximant function will be emulated by the illustrated compensation circuit 600 in order to produce a temperature-dependent voltage signal, Δv_(off)(T) that will be subtracted from the sensing element output signal offset in order to reduce or eliminate the temperature-dependent component of the sensor output signal. The desired output voltage, Δv_(off)(T) is produced on line 619. Equation Eq. 23 shows that the desired output signal on line 619 is to behave as a first order Pade' Approximant of an input voltage, V_(Tin), which input voltage increases substantially linearly with environmental temperature. V_(Tin) is generated by a secondary sensor means, 605. Thus, V_(Tin) is an analog signal representing sensed temperature. The secondary temperature sensor means 605 is not to be confused with the primary parameter sensor (not shown yet, could be a pressure sensor) whose output is being conditioned to counteract temperature effects. The temperature sensor means 605 can be integrally included within the monolithic IC that implements the rest of circuit 600.

$\begin{matrix} {{\Delta \; {v_{off}(T)}} = \left( \frac{{a \cdot V_{Tin}} + b}{{c \cdot V_{Tin}} + 1} \right)} & \left( {{Eq}.\mspace{14mu} 23} \right) \end{matrix}$

In the circuit 600 of FIG. 6, the V_(Tin) voltage signal is applied to input port 611 of a variable gain amplifier 621 whose effective gain is programmably established, in part by DAC 637 and gain-setting register 647 to a partial gain value denoted as G. More correctly, the effective gain of amplifier 621 is reduced by another factor, k_(vf)·V_(out)(=k_(vf)·ΔV_(off)(T)) which is generated by DAC 635 (digital to analog converter 635) so that the total effective gain of amplifier 621 is represented as G·(1−k_(vf)·V_(out)) where V_(out)=ΔV_(off)(T). V_(Tin) is multiplied by this total effective gain and then added in analog adder 622 to a programmably defined, bias voltage v_(x0). The bias voltage v_(x0) is established by DAC 632 and bias-setting register 642. The output of adder 622 defines the desired voltage, Δv_(off)(T) produced on line 619. Feedback loop 615 is used to cause the generated output voltage, Δ_(voff) to satisfy above equation Eq. 23. More specifically, the fedback Δvoff signal 615 is multiplied in DAC 635 by a third programmed parameter, k_(vf) (set in register 645) so that circuit 600 realizes the following, feedback-including transfer function of equation Eq. 24:

Δv _(off) =G·(1−k _(vf) ·Δv _(off))·V _(Tin) +v _(x0)  (Eq. 24)

By isolating the output Δv_(off), the expression (Eq. 24) can be re-written as following equation, Eq. 25:

$\begin{matrix} {{\Delta \; v_{off}} = \frac{{G \cdot V_{Tin}} + v_{x\; 0}}{{G \cdot k_{vf} \cdot V_{Tin}} + 1}} & \left( {{Eq}.\mspace{14mu} 25} \right) \end{matrix}$

Thus it is seen that the generated Δv_(off) signal (619) emulates a first order Padé Approximant per above equation Eq. 23, wherein the substitutions of equations set Eqs. 26 are used:

$\begin{matrix} \begin{Bmatrix} {a = G} \\ {b = v_{x\; 0}} \\ {c = {G \cdot k_{vf}}} \end{Bmatrix} & \left( {{Eqs}.\mspace{14mu} 26} \right) \end{matrix}$

Stated otherwise, equation Eq. 24 is re-written as following equation Eq. 27:

$\begin{matrix} {{\Delta \; v_{off}} = {{a \cdot \left( {1 - {{\frac{c}{a} \cdot \Delta}\; v_{off}}} \right) \cdot V_{Tin}} + b}} & \left( {{Eq}.\mspace{14mu} 27} \right) \end{matrix}$

Therefore, the circuit parameters G, v_(x0), and k_(vf) of FIG. 6 can be determined directly from the a, b, c coefficients, where the latter are calculated from temperature calibration measurements made in accordance with FIG. 4. The G, v_(x0), and k_(vf) circuit parameters may be programmed into a nonvolatile (NV) memory means (e.g., EEPROM or Flash) that is included within or coupled to the IC that implements circuit 600. The NV-stored, circuit parameters may then be downloaded from the NV storage means (or from elsewhere) into the respective registers 647, 642 and 645 that that control gain, bias and feedback by way of the dedicated D/A converters, 637, 632 and 635, as shown in FIG. 6. The programmable building blocks that form circuit 600 are individually known in the art. (See for example: Harrold, S., “Programmable analog ICs”, Sensor Magazine, April 2003; and Dunbar and Allen, “Performance grows with integration”, EE Times, Oct. 7, 2003; which published references are incorporated herein by reference.)

Referring to FIG. 7, a second temperature compensation circuit 700 in accordance with the invention is shown. Where practical, like reference numbers in the “700” century series are used to refer to alike elements of FIG. 6 that were numbered in the “600” century series. As such, it is not necessary to repeat an explanation for block 701 of circuit 700 because block 701 is essentially the same as circuit 600 except that the on-chip temperature sensing means 705 (which could alternatively be off-chip) is shown outside of block 701 and is shown to be further coupled to temperature input line 741 of second block 702. It should be apparent from FIG. 7 that the second block 702 is architecturally speaking, a mirror image of first block 701. Instead of generating a temperature-countering, offset correction signal (719), the second block 702 generates a temperature-countering, sensitivity correction signal on line 750, where the sensitivity correction signal is denoted as ΔS.

Input terminal (e.g., package pin) 706 of the integrated circuit that implements temperature compensation circuit 700 receives a sensor output signal, V_(S), from the temperature dependent sensor, which sensor is not shown, but could be a resistive pressure sensor, or a reactive position sensor, or some other sensor which is to measure a corresponding physical parameter while operating across a predefined temperature range, i.e., T1-T3. The received sensor output signal, V_(s) is applied to an analog summing unit 707 so that the temperature-dependent, offset voltage, Δv_(off)(T) (on line 719) can be subtracted out. The output voltage of summing unit 707 is then coupled to a variable gain amplifier (or attenuator) 708 so that the offset-free, sensor output signal, V′_(s) can be multiplied by the value of the sensitivity correction signal, ΔS. The twice corrected, sensor output signal, V″_(s) can then be output from output terminal (e.g., package pin) 709 of the integrated circuit for further processing. Alternatively or additionally, the corrected, sensor output signal, V″_(s) can be coupled to on-chip circuitry (not shown) for further use or processing within the IC that contains circuit 700. For purpose of simplicity, FIG. 7 does not show removal of a temperature-invariant offset from the received sensor output signal, V_(s). It should be apparent from the above theoretical explanation that such a temperature-invariant offset should also be subtracted out at summing unit 707.

Referring to block 702 of FIG. 7, the Padé Approximant function for sensitivity correction is implemented by an analogous means to that of block 701 except that the output signal 750 is representative of a gain adjustment, ΔS rather than of an offset voltage. The ΔS signal can be used as a gain control voltage applied to a corresponding gain control node of a voltage-controlled amplifier (VCA) 708 to thereby translate the voltage signal into a corresponding gain correction. An expression for the desired gain correction is provided in equation Eq. 28:

$\begin{matrix} {{\Delta \; S} = {{A \cdot \left( {1 - {{\frac{C}{A} \cdot \Delta}\; S}} \right) \cdot V_{T}} + B}} & \left( {{Eq}.\mspace{14mu} 28} \right) \end{matrix}$

Capital letters, A, B and C are used in equation Eq. 28 to represent the programmably established coefficients corresponding to the lower case ones expressed in equations Eq. 26 and 27. Of course, the values for the capitalized coefficients, A, B and C are established to provide an appropriate sensitivity correction ΔS rather than an offset correction. See again, FIG. 5.

Although FIG. 7 shows a mostly analog solution (where the transition from the digital signal domain to the analog domain is provided by the six illustrated DAC's: 742, 745, 747, 772, 775, and 777; there are many other possible ways to implement circuitry for realizing the desired temperature compensation. FIG. 8A provides a block diagram of an alternate implementation 800 wherein the temperature compensations for offset and sensitivity are computed in the digital domain by a programmable, arithmetic logic unit (ALU) 803 and the digital result signals, 819 (Δv_(off)(T)) and 849 (ΔS) are then applied to an analog signal path, 806-809 by way of registers 820, 850 and DAC's 825, 855 respectively. DAC 855 forms part of a gain-setting loop path (feedback or feedforward) of analog amplifier 808 and thus modifies the gain of that amplifier circuitry (e.g., by modifying the feedback impedance). An advantage of an implementation that is more digital than analog is that it can be realized with low power CMOS circuitry and the digital portion is more immune to noise, as well as being more easily programmable

Referring to FIG. 8B, a variation on embodiment 800 is shown at 880. A resistive bridge pressure sensor is shown at 860 and a differential input buffer is shown at 861. Pressure applied to the sensor 860 is represented by meter 859 as having at least three settings: P_(FS) for full scale, P_(M) for mid scale, and P₀ for a reference zero pressure (i.e. one atmosphere). The analog input amplifier 865 has an offset input terminal 864 which can be used to apply a coarse offset to the output provided by buffer 861. Register 862 stores a digital signal representing a coarse, temperature-invariant offset value and DAC 863 converts the stored value into a corresponding analog signal value supplied to offset input terminal 864. Summing unit 867 adds to this a temperature-invariant, fine offset value and also the temperature dependent component. The analog output voltage of DAC 825′ may be represented by the following equation, Eq. 29a:

$\begin{matrix} {{\Delta \; {{voff}(T)}} = {k\left\lbrack {\left( \frac{{a \cdot V_{T}} + b}{{c \cdot V_{T}} + 1} \right) + {f\; o}} \right\rbrack}} & \left( {{{Eq}.\mspace{14mu} 29}\; a} \right) \end{matrix}$

where k is a DAC-conversion coefficient describing a proportionality relationship between the digital code held in the fine-offset register 824′ (fo) and the digital code held in the temperature-compensation register 820′ to the actual voltage, V_(out3) output by adder 870 in response to the DAC output voltage, Δv_(off), produced by DAC 825′. Due to manufacturing variances, a different k factor generally occurs for each individual embodiment of DAC 825′ as well as for each individual embodiment of amplifiers 868 and 869. Mass production variance in this digital-to-analog conversion factor, k, can reduce post-compensation accuracy if k is not accurately determined for each of mass produced circuits. The value of k can be accurately determined for a given circuit by measuring the voltage, V_(out3) at the output of circuit 880 as fo is varied. During calibration, it will generally be desirable to adjust fo so as to cause V_(out3) to equal a base reference magnitude (which may be referred as a relative zero) when a reference pressure, P₀ is applied to the primary sensor 860 at a reference temperature, say T2. An off-chip, and detachably-connectable, calibration computer such as shown at 827′ may be used for automatically carrying out the calibration process. In one embodiment, the computer 827′ is operatively coupled to an external temperature controller 858 and to an external physical parameter (e.g., pressure) controller 859 for controlling these environmental attributes. The computer 827′ is further temporarily operatively coupled to memory units 801′ and 802′ of the under-calibration, sensor chip 880 so as to set the temperature compensation coefficients stored therein. In order to avoid cluttering the drawing, not all operative couplings between the computer 827′ and various internal parts of the under-calibration, sensor chip 880 (e.g., 824′, 862, 866, 801′, 802′) are shown. Various signal coupling techniques may be used including serial transmission of control and data signals between the computer 827 and the sensor chip 880 to which the computer 827 temporarily couples in an operative manner (wired or wirelessly).

In order to determine k during calibration (automated or manual), the Pade' Approximant coefficients, a, b and c for offset are first reset to 0 and the coefficients, A, B and C for sensitivity are also set to zero so that the output voltage, Vout3 can be tuned coarsely and then finely for eliminating offset. The fine-offset register 824 is also initially reset to fo=0. After the coarse offset register 862 has been experimentally loaded via trial and error with a code value that reduces Vout3 to within an acceptable, coarse error range off of true zero (in one embodiment this was found to be within about 300 μV of zero) while pressure is held at P0 and temperature is held at the reference value (i.e., T2), a new non-zero value, fo′ is loaded into the fine-offset register 824 so that a ΔV_(out3) difference can be measured. The procedure may be carried out under control of software code 826 b stored within the calibration computer 827. The respective gains of amplifiers 865, 868 and 869 are don't cares in this procedure as long as they are held constant for the ΔV_(out3) measurements. In one embodiment, the gain of 865 is set at approximately 8, the gain of 868 is held at approximately 1 and the gain of 869 is held at approximately 3 during this procedure. Then the ALU 803′ is caused to calculate the value of k as simply the ratio, ΔV_(out3)/Δf0. This value for k is stored in the DAC coefficients register 826 a of the calibration computer for later use when the computer will use equation Eq. 29a to calibrate the a, b and c coefficients of temperature compensation register 801′. The saved k value is also used by the calibration computer 827 to compute the fine offset code that is to be stored in register 824. The V_(out3) value measured at the end of the step for calculating k will often be other than zero. The correction that is to be added to f0 to bring V_(out3) closer to zero will simply be: Δf0=ΔV′_(out3)/k where ΔV′_(out3) is the change to be made to V_(out3) to bring it close to zero. It has been found for one specific embodiment that this fine tuning of the offset register can cause V_(out3) to converge from the outer reaches of the coarse tuning range (about 300 μV away from true zero) to approximately within 2 μV of zero while the pressure at the primary sensor is held at P0 and the temperature is correspondingly held at the reference value (i.e., T2). Once fo and k are set, the automated calibration process (826 b) may proceed to determining the appropriate values for a, b and c while the sensor parameter (e.g., pressure in the case of 860) is held constant at the reference value (P0) and the temperature, as set for example by the external temperature controller 858, is switched among the at least 3 test points: T1, T2 and T3. The method of above Eqs. 9-13 may be used by calibration software 826 b.

In one embodiment of FIG. 8B, the code normalizations of following equation Eq. 29b are used:

$\begin{matrix} {{\Delta \; {{voff}(T)}} = {k\left\lbrack {\left( \frac{{a \cdot T} + {4\; b}}{\frac{c \cdot T}{256} + 64} \right) + {2*f\; o} + 512} \right\rbrack}} & \left( {{{Eq}.\mspace{14mu} 29}\; b} \right) \end{matrix}$

The value in the big square brackets parentheses is represented by the digital codes sent to the fine-tuning DAC 825′. k represents the conversion of the DAC codes to the final output voltage, V_(out3). The constants used in equation Eq. 29b, namely, 4, 256, 64, 2, and 512 were chosen to optimize the equation for a specific fixed point DSP so as to keep the digital code value within a range of 0 to 1023 for a 10-bit DAC provided within that DSP. More specifically, for the specific DSP, the range of the T code was kept in the range, −127 to +127, to represent a digital temperature with 255 discrete levels. In one embodiment, the code value of T=0 was used to represent room temperature. The fine-tuning register 824′ had 8 bits while the fine-tuning range was allowed to have 1024 discrete levels. The setting of f0=0 placed the expression 2*fo+512 in the middle of the 10 bit range. Similarly, the scaling factors for the b and c coefficients as well as the constants used elsewhere within Eq. 29b were chosen to optimize the equation for the specific fixed point DSP so as to keep the resultant code value within a range of 0 to 1023 for the 10-bit DAC provided in that specific DSP. Of course, it is within the contemplation of the invention to use other appropriate constants for embodiments that use DAC's and/or code-holding registers with different digital resolutions.

Note that with the more digitized embodiments 800, 880 of FIGS. 8A-8B; that instead of using brute force division, as might be suggested by equations Eqs. 29a-29b, it is alternatively possible to use the iterative feedback form of the Pade' Approximant expression and to thus avoid the need for performing a brute force division. More specifically, the calculations for the offset and sensitivity digital codes can be iteratively computed per the following computer program expressions, Ex. 30a and 30b:

Δvoff_(code) =a·(1−c′·Δvoff_(code))·T _(code) +b  (Ex. 30a)

ΔS _(code) =A·(1−C″·ΔS _(code))·T _(code) +B  (Ex. 30b)

where c′=c/a, and C′=C/A. ALU 803′ may therefore use the iterative procedures of expressions, Ex. 30a and Ex. 30b to regularly update the offset and sensitivity codes of registers 820′ and 850′ (or 820 and 850 of FIG. 8A) as the sensed temperature (T) changes rather than having to perform brute force division. The coefficients a, b, c′ and A, B, C′ are stored in a NV or other appropriate memory 801′ and 802′. If the arithmetic logic unit (ALU) carries out the additions/subtractions and multiplications of expressions, Ex. 30a-30b to thereby iteratively update the temperature compensation codes in registers 820 (or 820′) and 850 (or 850′) as the temperature varies, the size of the ALU may be kept relatively small, and the power consumption of the temperature compensation chip 880 may be kept relatively small. The iteratively computed codes of registers 820′ and 850′ control the DACs (825′ and 855′) that then provide analog offset and analog gain-control signals into the analog signal path 806-809 (or 860-870 in the case of FIG. 8B).

Referring to FIG. 9, another possible embodiment is the yet-more digital approach shown at 930. The offset subtractor 917 is implemented within digital block 930 as is also the sensitivity multiplier 918. Analog-to-digital converter (ADC) 907 digitizes the V_(S) sensing signal coming from the sensing means. The inverse, digital-to-analog conversion shown at 908 is optional since quite often it will be the digital output of multiplier 918 that is forwarded serially or otherwise (e.g. by use of pulse-width-modulation based communications) to a system computer (e.g. to an automobile's control and display computer) for further processing. The optional DAC 908 can be included at the output, in the case where an analog Vout is desired at IC terminal 909.

The areas outlined in FIGS. 8A-8B and FIG. 9 as constituting the digital block (830 or 930) use essentially only digital operations. These digital operations can be executed by a microcontroller, a microcomputer, a digital signal processor (DSP) or other such means. However, as the operations executed in blocks 830/930 are relatively few and quite basic (addition, multiplication, register storage), a simple dedicated DSP circuit can be a more cost-effective solution for high volume mass production applications. Although FIG. 9 may appear to suggest just one set of coefficients, namely, a, b, and c being stored in memory 901 and only one further set of coefficients, namely, A, B, and C being stored in memory 902; it is within the contemplation of the disclosure to treat the digitized temperature-indicating signal, T(g) as identifying or representing a succession of temperature subranges and to store within memory units 901 and 902 corresponding sets of Pade' Approximant coefficients. More significant bits of the temperature-indicating signal, T(g) may be used directly as address inputs for the multi-range memory units 901 and 902. Alternatively, the digitized temperature-indicating signal, T(g) may be first processed by the ALU 903 to thereby produce memory addressing signals that are then applied to the multi-range memory units 901 and 902 for fetching the approximate Pade' Approximant coefficients to be used for each temperature subrange. The next described, FIG. 10 shows an example.

Although continuous solutions are illustrated above, specific classes of sensors may benefit from alternative variations of the invention where piece-wise Pade' Approximant solutions are stitched together with other Pade' Approximant solutions or even with polynomial and/or linear and/or other piece-wise solutions. There are cases where higher accuracy can be achieved by splitting the specified operating temperature range T1-T4 (FIG. 10) of the utilized sensing means into multiple subranges and by performing nonlinear or linear local temperature compensation inside each one of the subranges. FIG. 10 shows an example wherein a hypothetical sensing element has an offset variation over its operating temperature range with three distinct subranges, namely:

-   -   T1 to T2: a first subrange with linear offset variation;     -   T2 to T3: a nonlinear second subrange that includes an         intermediate point, T_(2.5); and     -   T3 to T4: a nonlinear third subrange that includes an         intermediate point, T_(3.5).

Each one of these three exemplary sensor offset subranges can be better addressed by a respective custom set of linear or nonlinear temperature compensation coefficients rather than by single, common set of coefficients. Any of the above-described implementations of offset temperature compensation can be selected as appropriate for handling this exemplary sensor. A few minor additions may be provided in the above-described circuits for detecting the switch-over from one temperature subrange to the next. For example, two analog or digital comparators may be added with respective detection thresholds set to detect the temperature crossings at T2 and T3 of FIG. 10. The outputs of these comparators are periodically checked to determine whether there has been a change of temperature subrange. Alternatively, an ALU such as 903 of FIG. 9 may be programmed to determine when a switch-over is to be carried out and what appropriate set of coefficients to use. In the particular example 1000 given by FIG. 10, there are three possibilities:

If T≦T2 (and optionally, T>T1), then the sensor offset is in the linear first subrange. To implement a linear temperature compensation, the feedback path may be simply eliminated. The k_(vf) feedback coefficient in equation Eq. 24 or Eq. 30 for example, may be simply zeroed and as a result, the new transfer function for the respective analog or digital implementation becomes respectively:

Δvoff=a·V _(T) +b  (Eq. 31)

Δvoff_(code) =a·T _(code) +b  (Eq. 32)

2) If T2<T≦T3, the sensor offset is in the nonlinear second subrange and the set of nonlinear temperature compensation coefficients a₁, b₁, c₁ can be calculated as previously discussed (with the calibration points being T₂, T_(2.5) and T₃) and this first nonlinear temperature compensation characteristic can be used when temperature is in this second subrange. In one embodiment, T2 is used as a joint calibration point for the first compensating means used for the first subrange, T≦T2, and also for the second compensating means used for the second subrange, T2<T≦T3, thus assuring that the two solutions will meet at a same precise value (V_(off2)). Thus a continuous compensation function is provided over at least the first and second subranges.

2) If T>T3 (and optionally, or T≦T4), the sensor offset is in the nonlinear third subrange and another set of nonlinear TC coefficients a₂, b₂, c₂ can also be calculated as previously discussed (with the calibration points being T₃, T_(3.5) and T₄) and this second nonlinear temperature compensation characteristic can be used when temperature is in this third subrange. In one embodiment, T3 is used as a joint calibration point for the second compensating means used for the second subrange, T2<T≦T3, and also for the third compensating means used for the third subrange, T>T3, thus assuring that the second and third solutions will meet at a same precise value (V_(off3)). Thus a continuous compensation function is provided over at least the second and third subranges.

A similar procedure can be used for managing the sensitivity counter-compensation. In the general case, distinct sets of temperature compensation coefficients are stored for each nonlinear or linear subrange for both offset and sensitivity. This concept can be extended for a plurality of nonlinear and linear offset and sensitivity subranges, where each one is managed by an additional calibration set of steps, by an extra window comparator, and by another set of coefficients.

When a given sensing means is first characterized, it is sometimes not known if a given subrange, say T1-T2, is linear or non linear. Thus it is not immediately known whether to use a piecewise linear compensation for that temperature subrange or a nonlinear one (e.g., one that is modeled by a Pade' Approximant emulation). In accordance with one aspect of the invention, at least 3 calibration points are taken for each subrange with sharing of calibration results at the boundaries (e.g., T2, T3) of those subranges. For example, for the T1-T2 subrange, measurements are taken at boundary points T1 and T2 and also at an intermediate point, T_(1.5). Then it is determined if the measured characteristic (e.g., V_(off)) at the intermediate point T_(1.5). is sufficiently close to being linear with the measurement results (V_(off1), V_(off2)) taken at the boundary points T1 and T2. If yes, then a linear correction algorithm is used. If no, then a nonlinear correction algorithm (e.g., a Pade' Approximant based algorithm) is used. The amount of error allowed before an intermediate characteristic is deemed to be nonlinear as opposed to being close to linear can vary from application to application and is predefined within the context of a given application. In the illustrated example, when the measured characteristic (e.g., V_(off)) at the intermediate point T_(2.5) is compared against the end point results of T2 and T3, it is found that this intermediate result is nonlinear. Consequently, the 3 data points of T2, T2.5 and T3 are used for generating appropriate Pade' Approximant coefficients for the T2-T3 subrange. Similarly, when the measured characteristic at the intermediate point T_(3.5) is compared against the end point results of T3 and T4, it is found that this intermediate result is nonlinear. Consequently, the 3 data points of T3, T3.5 and T4 are used for generating appropriate Pade' Approximant coefficients for the T3-T4 subrange.

Although embodiments discussed herein implement first order Padé Approximants as a means for providing nonlinear temperature compensation, it is within the scope of the invention to use higher order Padé Approximants, including those where numerator and denominator have different orders. Also, both numerator and denominator may be multiplied by any constant without affecting the intended results. Therefore the constant 1 coefficient in the exemplary denominator used herein (see for example, Eq. 23) may be replaced by any real constant (see Eqs. 29a and 29b). Moreover, it is possible to implement second or higher order Padé Approximants as a means for providing nonlinear temperature compensation while still using only a few coefficients (e.g. 4 coefficients) by restricting the variability in the higher order polynomial of the numerator or denominator. Consider for example, the following equation, Eq. 33a:

$\begin{matrix} {{y_{1,2}(x)} = {\frac{P_{1}(x)}{Q_{2}(x)} = \frac{{ax} + b}{\left( {{cx}^{2} + {dx} + 1} \right)}}} & \left( {{{Eq}.\mspace{14mu} 33}\; a} \right) \end{matrix}$

In such a case, there are four unknowns, a, b, c and d, to be resolved by use of four or more calibration measurements. A second order Pade' Approximant such as shown in Eq. 33a can be obtained using the concept of FIG. 6, but carried out to a greater level of complexity. FIG. 6 shows a variable gain stage 621 where the variable gain is a sum of a function of just the output voltage (k·V_(out)) and a constant. However, if the variable gain is made a function of the input voltage as well, V_(in)=V_(Tin), then a higher order Pade' Approximant similar to that shown in Eq. 33a may be obtained without use of brute force division. Consider the general, variable gain result of Eq. 33b and then the substitution shown in Eq. 33c:

V _(out) G _(variable) ·V _(in) +b  (Eq. 33b)

V _(out)=(a−d*V _(out) −c*V _(in) *V _(out))·V _(in) +b  (Eq. 33c)

By collecting like terms from equation Eq. 33c, the pre-division expression of equation Eq. 33d is easily arrived at:

V _(out)·(1+d*V _(in) +c*V _(in) ²)=a·V _(in) +b  (Eq. 33d)

Solving for V_(out), one arrives at the form shown in Eq. 33a. Four calibration measurements may be used to solve for the four coefficients, a, b, c and d of equations Eq. 33a-33d.

Aside from using N measurements (e.g., N=3, N=4) for providing N equations with N unknowns for a first or higher order Pade' Approximant emulation, various mathematically based methods of curve fitting may be used for determining optimized Pade' Approximant coefficients, such as least squares or any other linear or nonlinear regression method. Numerical computational methods can also be used to determine the number of subranges and their thresholds within given constraints.

It is seen in light of the above that the present invention can provide very flexible and powerful solutions for controlling temperature compensation parameters without need for complex circuitry to implement the controlling functions. Performance can be optimized by appropriate selection of the sensor temperature range or subranges and by making sure that temperature nonlinearities within any individual subrange are not too severe and are, preferably, monotonic. Also, DAC's with relatively large number of input bits may be used to allow for finer granularity of control and higher overall accuracy. Higher order Padé Approximants and a larger number of calibration points may also increase accuracy. Accordingly, a tradeoff between accuracy and complexity may be desirable in the more demanding applications. The invention has wide application in sensor interface IC's and/or other systems whose functionalities include that of correcting temperature-dependent nonlinearities. By way of example, a single automotive sensor ASIC typically calls for mass production volumes in the range of 2 to 3 million units/year and low per unit price. The simplicity of circuits made in accordance with the invention allow for low cost and high yields (due to reduced die size).

The present disclosure is to be taken as illustrative rather than as limiting the scope, nature, or spirit of the subject matter claimed below. Numerous modifications and variations will become apparent to those skilled in the art after studying the disclosure, including use of equivalent functional and/or structural substitutes for elements described herein, use of equivalent functional couplings for couplings described herein, and/or use of equivalent functional steps for steps described herein. Such insubstantial variations are to be considered within the scope of what is contemplated here. Moreover, if plural examples are given for specific means, or steps, and extrapolation between and/or beyond such given examples is obvious in view of the present disclosure, then the disclosure is to be deemed as effectively disclosing and thus covering at least such extrapolations.

By way of a further example, it is understood that the configuring of a programmable, Pade' Approximant emulating device (e.g., 800 of FIG. 8A) in accordance with the disclosure can include use of a computer (e.g., 827 of FIG. 8B) to control calibration procedures and to program the derived coefficients into appropriate on-chip memory. Accordingly, a computer-readable instructing medium or another form of software product or machine-instructing means (including but not limited to, a hard disk, a compact disk, a flash memory stick, or a downloading of manufactured instructing signals over a network into computer 827) may be used for instructing an instructable machine (e.g., computer 827) to carry out such calibration activities in accordance with the invention. As such, it is within the scope of the disclosure to have an instructable machine carry out, and/to provide a software product adapted for causing an instructable machine to carry out one or more machine-implemented methods of calibrating mass produced sensor conditioning circuits in accordance with procedures described above.

Reservation of Extra-Patent Rights, Resolution of Conflicts, and Interpretation of Terms

After this disclosure is lawfully published, the owner of the present patent application has no objection to the reproduction by others of textual and graphic materials contained herein provided such reproduction is for the limited purpose of understanding the present disclosure of invention and of thereby promoting the useful arts and sciences. The owner does not however disclaim any other rights that may be lawfully associated with the disclosed materials, including but not limited to, copyrights in any computer program listings or art works or other works provided herein, and to trademark or trade dress rights that may be associated with coined terms or art works provided herein and to other otherwise-protectable subject matter included herein or otherwise derivable herefrom.

If any disclosures are incorporated herein by reference and such incorporated disclosures conflict in part or whole with the present disclosure, then to the extent of conflict, and/or broader disclosure, and/or broader definition of terms, the present disclosure controls. If such incorporated disclosures conflict in part or whole with one another, then to the extent of conflict, the later-dated disclosure controls.

Unless expressly stated otherwise herein, ordinary terms have their corresponding ordinary meanings within the respective contexts of their presentations, and ordinary terms of art have their corresponding regular meanings within the relevant technical arts and within the respective contexts of their presentations herein.

Given the above disclosure of general concepts and specific embodiments, the scope of protection sought is to be defined by the claims appended hereto. The issued claims are not to be taken as limiting Applicant's right to claim disclosed, but not yet literally claimed subject matter by way of one or more further applications including those filed pursuant to 35 U.S.C. §120 and/or 35 U.S.C. §251. 

1-6. (canceled) 7: A method for calibrating temperature compensating circuits that are to be respectively used for providing temperature-countering compensation to respective attribute-sensing signals obtained from respective sensing means which are logically and/or physically associated with the to-be-calibrated, compensating circuits, where the respective sensing means each exhibits at least one of a temperature-dependent offset and a temperature-dependent sensitivity, the calibrating method comprising: (a) for a given reference magnitude of a corresponding physical attribute sensed by a respective sensing means, determining the offset behavior of the respective sensing means as a sampled function of at least three different temperature points; (b) determining three or more coefficients for a first or higher order Pade' Approximant function that models the determined offset behavior to a predefined level of offset accuracy; and (c) storing the determined coefficients for use in a corresponding temperature compensating circuit that will use the determined coefficients to generate an offset countering signal for the respective sensing means. 8: The calibrating method of claim 7 wherein said temperature compensating circuit uses the determined coefficients to generate the offset countering signal by: (c.1) obtaining a signal indicative of temperature of the respective sensing means; and (c.2) from the obtained, temperature-indicating signal, generating a temperature-dependent offset countering signal by using a Pade' Approximant function of the temperature-indicating signal, where the used Pade' Approximant function is defined by said determined coefficients. 9: The calibrating method of claim 7 and further comprising: (d) for a given second magnitude of the corresponding physical attribute sensed by said respective sensing means, determining the sensitivity behavior of the respective sensing means as a sampled second function of at least three different temperature points; (e) determining three or more further coefficients for a first or higher order, further Pade' Approximant function that models the determined sensitivity behavior to a predefined level of sensitivity accuracy; and (f) storing the determined further coefficients in a corresponding further temperature compensating circuit that will use the determined further coefficients to generate the sensitivity countering signal for the respective sensing means. 10: The calibrating method of claim 9 wherein said further temperature compensating circuit uses the determined further coefficients to generate the sensitivity countering signal by: (f.1) obtaining said signal indicative of temperature of the respective sensing means; and (c.2) from the obtained, temperature-indicating signal, generating the sensitivity countering signal by using a further Pade' Approximant function of the temperature-indicating signal, where the used further Pade' Approximant function is defined by said determined further coefficients. 11: The calibrating method of claim 7 and further comprising: (d) determining one or more magnitudes for a temperature-invariant offset countering signal that is to be used in combination with said temperature-dependent offset countering signal; and (e) determining a code-to-output conversion factor provided by a digital-to-analog converter (DAC) within said corresponding temperature compensating circuit where said DAC is used to produce an analog counterpart signal for a combination of digital codes, one of the codes representing a fine-tuning component of said temperature-invariant offset countering signal and another representing at least part of said temperature-dependent offset countering signal; and (f) using the determined code-to-output conversion factor to define said one of the codes that represents the fine-tuning component. 12-23. (canceled) 24: A machine-implemented calibration method comprising: (a) for a given reference magnitude of a corresponding physical attribute sensed by a respective attribute sensing means, determining the offset behavior of the respective sensing means as a sampled function of at least three different temperature points; (b) determining three or more coefficients for a first or higher order Pade' Approximant function that models the determined offset behavior to a predefined level of offset accuracy; and (c) storing the determined coefficients in a corresponding temperature compensating circuit that will use the determined coefficients to generate an offset countering signal for the respective attribute sensing means. 25: A method for calibrating temperature compensating circuits that are to be respectively used for providing temperature-countering compensations to respective attribute-sensing signals obtained from respective sensing means, which sensing means are logically and/or physically associated with the to-be-calibrated, compensating circuits, where the respective sensing means each exhibits at least one temperature-dependent characteristic selected from the group consisting of temperature-dependent offset and temperature-dependent sensitivity, and where the at least one temperature-dependent characteristic is divisible over a given temperature range into a plurality of temperature-dependent subcharacteristics each corresponding to a respective and different subrange of said given temperature range, the calibrating method comprising: (a) for a given reference magnitude of a corresponding physical attribute sensed by a given sensing means, and for a first of said plural subranges, determining a corresponding first temperature-dependent subcharacteristic behavior of the given sensing means as a sampled function of at least two different temperature points within the first subrange, the first temperature-dependent subcharacteristic behavior being part of said at least one temperature-dependent characteristic; (b) for the given reference magnitude of the corresponding physical attribute sensed by the given sensing means, and for a second of said plural subranges, determining a corresponding second temperature-dependent subcharacteristic behavior of the given sensing means as a sampled function of at least three different temperature points within the second subrange, where one of said at least three different temperature points is the same as one of said at least two different temperature points of the first subrange, the second temperature-dependent subcharacteristic behavior being part of said at least one temperature-dependent characteristic; (c) determining three or more coefficients for a first or higher order Pade' Approximant function that models the second temperature-dependent subcharacteristic behavior over said at least three different temperature points within the second subrange to a predefined level of offset accuracy; and (d) storing the determined three or more coefficients for use in a corresponding temperature compensating circuit that will use the determined coefficients to generate an offset countering signal for the given sensing means. 26: A method of providing calibrated coefficient signals for storage in a temperature-variation countering compensator associated with a given sensing means and for thereby enabling the compensator to compensate for temperature-dependent output variation by the given sensing means, where said given sensing means includes at least a first sensor element that measures a corresponding first physical parameter other than temperature, where said sensing means outputs a first output signal representing the first physical parameter measured by the first sensor element at least while one of the first sensor element or whole of the sensing means is subjected to a temperature within a first predefined temperature range and while the measured first physical parameter is within a first predefined measurement range, where the first output signal exhibits a nonlinear temperature-dependent output variation relative to changing temperature while the first sensor element operates in at least the first predefined temperature range and in the first predefined measurement range, where said temperature-variation countering compensator includes a signal combiner that combines the first output signal with at least a first nonlinearity countering signal to thereby produce a corresponding first temperature compensated output signal, where said temperature-variation countering compensator includes a temperature signal generator that generates a temperature signal corresponding to a temperature that the first sensor element is subjected to, where said temperature-variation countering compensator includes at least a first Padé Approximant function generator that synthesizes the first nonlinearity countering signal in response to the temperature signal generated by the temperature signal generator, and where the first Padé Approximant function generator includes at least first to third memories for storing respective first to third calibrated coefficient signals which coefficient signals control the synthesis of the first nonlinearity countering signal by the first Padé Approximant function generator; said method comprising: (a) while subjecting the first sensor element to a predefined magnitude of the first physical parameter in the first predefined measurement range, and while also subjecting the first sensor element to at least first, second and third substantially spaced apart temperatures (T1, T2, T3) in said first predefined temperature range, measuring the first output signal so as to thereby define a corresponding at least first, second and third representative samples of the first output signal taken over a substantial span of the first predefined temperature range; (b) determining the temperature signal generated by the temperature signal generator at each of said at least first, second and third substantially spaced apart temperatures (T1, T2, T3); (c) for each of said at least first, second and third temperatures and corresponding at least first, second and third output signal representing samples, defining a corresponding equation having at least three unknown coefficients, a first variable representing the respective temperature signal generated by the temperature signal generator and a second variable representing the corresponding representative sample of the first output signal; (d) solving for or otherwise determining values of said at least three unknown coefficients that substantially satisfy the set of at least three equations defined in step (c), where the determined values of the at least three unknown coefficients define calibrated coefficient signals that when stored into the at least first to third memories of said at least first Padé Approximant function generator cause the first Padé Approximant function generator to synthesize the first nonlinearity countering signal in response to a supplied temperature signal supplied from the temperature signal generator and in such a way that the first temperature compensated output signal is substantially free of at least one part of said temperature-dependent output variation; and (e) generating data signals representing said calibrated coefficient signals. 27: The method of claim 26 wherein said at least three equations defined in step (c) are each a linear equation. 28: The method of claim 26 wherein said at least three equations defined in step (c) correlate a temperature-dependent non-linear attribute of the first output signal to a Padé Approximant ratio containing the at least three unknown coefficients and a representation of the supplied temperature signal. 29: The method of claim 28 wherein the temperature-dependent non-linear attribute is a nonlinear temperature-dependent offset of the first output signal. 30: The method of claim 28 wherein the temperature-dependent non-linear attribute is a nonlinear temperature-dependent sensitivity of the first output signal. 31: The method of claim 28 wherein said representation of the supplied temperature signal appears in a denominator of the Pade Approximant ratio. 32: The method of claim 31 wherein denominator as well as numerator of the Padé Approximant ratio is each a first order polynomial. 33: The method of claim 26 wherein first physical parameter other than temperature is selected from the group consisting of: pressure, luminosity, position, acceleration, flow rate, magnetic flux intensity, motor current, a mechanical strain, a mechanical displacement, and an intercepted radiation. 34: The method of claim 26 wherein the temperature-variation countering compensator and its associated given sensing means are packaged in a sensor module. 35: The method of claim 26 wherein the defined at least first, second and third representative samples of the first output signal are relative samples taken relative to a predefined reference magnitude and the reference magnitude corresponds to a reference magnitude of the first physical parameter within the first predefined measurement range. 